Gopal R. Patil

2009

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Gopal R. Patil trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Richard H. Byrd

Who trusts Gopal R. Patil overall

  1. Jingyi Xue

Papers from Gopal R. Patil's perspective

Ordered by how strongly the researchers Gopal R. Patil trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A trust region method based on interior point techniques for nonlinear programming (Mathematical programming)
  2. The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
  3. On the limited memory BFGS method for large scale optimization
  4. RCV1: A New Benchmark Collection for Text Categorization Research
  5. De-noising by soft-thresholding
  6. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
  7. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
  8. On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Deep learning via Hessian-free optimization

Their papers